# Questions tagged [error-propagation]

Methods for calculating errors of a function whose arguments have individual errors.

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### Accounting for uncertainty in a fit coefficient

So given some empirical data of $I_T$ vs $r$ I'd like to fit that to some model given by $$I_T=\frac{I_0}{1+F \sin\bigg(\frac{2\pi d}{\lambda}\frac{f}{f^2+r^2}\bigg)}$$I am trying to analyze data ...
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### Exact Corrections to Measured Data in a Paper?

http://fy.chalmers.se/~f7xiz/TIF080/pendulum.pdf I am really confused by this paper. They make corrections to the value of $g$ from theoretical corrections, but they plug in measured values with ...
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### Disadvantages of uncertainty in modeling

I am preparing a presentation, my work mainly concentrates on uncertainty and sensitivity analysis. I was wondering if I can convince my audience by the importance of studying uncertainty in modeling. ...
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### Uncertainty of sum of values estimated through linear regression

I have a continuous record of a variable X, which I want to use as a surrogate for another system value Y. I have a number of measurements of Y, which I can plot against concurrent measurements of X ...
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### Propagating RMSECV?

I have two regression models, each of which has an associated root mean squared error of cross validation (RMSECV). I would like to combine the results of the models using a weighted average to get a ...
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### Backward propagation algorithm demonstration in neural networks: any VERY-SMALL-STEP by VERY-SMALL-STEP demonstration?

I'm looking for a VERY DETAILED demonstration for the backward propagation algorithm in neural networks machine learning. Specifically the step below. I've got the excellent Michael Nielsen ...
222 views

### backpropagation: why find the global minimum instead of the value of zero

in back propagation, you use gradient descent to find the stationary point on the equation of the Error = (in terms of weight). But don't we want the error to be equal to zero? if the error is zero, ...
107 views

### Gini index on data with error margins

I have data series and I want to calculate Gini coefficients for each row as an estimate of matrix sparsity. Hoever values contained in the rows are not exact and have error bounds. My question is ...